dc.contributor |
Ministerio de Ciencia y Tecnología (España) |
|
dc.contributor |
European Commission |
|
dc.creator |
Grachten, Maarten |
|
dc.creator |
Arcos, Josep Ll. |
|
dc.creator |
Lopez de Mantaras, Ramon |
|
dc.date |
2008-02-15T17:41:51Z |
|
dc.date |
2008-02-15T17:41:51Z |
|
dc.date |
2006-12 |
|
dc.date.accessioned |
2017-01-31T01:00:09Z |
|
dc.date.available |
2017-01-31T01:00:09Z |
|
dc.identifier |
Machine Learning Journal, 65(2/3): 411-437 |
|
dc.identifier |
0885-6125 |
|
dc.identifier |
http://hdl.handle.net/10261/2949 |
|
dc.identifier.uri |
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/2949 |
|
dc.description |
The research presented in this paper is focused on global tempo transformations of music performances. We are investigating the problem of how a performance played at a particular tempo can be rendered automatically at another tempo, while preserving naturally sounding expressivity. Or, differently stated, how does expressiveness change with global tempo. Changing the tempo of a given melody is a problem that cannot be reduced to just applying a uniform transformation to all the notes of a musical piece. The expressive resources for emphasizing the musical structure of the melody and the affective content differ depending on the performance tempo. We present a case-based reasoning system called
TempoExpress and will describe the experimental results obtained with our approach. |
|
dc.description |
This research has been partially supported by the Spanish Ministry of Science and Technology under the project TIC2003-07776-C2-02 "CBR-ProMusic" and EU-FEDER funds |
|
dc.description |
Peer reviewed |
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dc.format |
183733 bytes |
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dc.format |
application/pdf |
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dc.language |
eng |
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dc.publisher |
Springer |
|
dc.rights |
openAccess |
|
dc.subject |
Artificial Intelligence |
|
dc.subject |
Case-Based Reasoning |
|
dc.subject |
Music |
|
dc.title |
A Case-Based Approach to Expressivity-aware Tempo Transformation |
|
dc.type |
Artículo |
|